MétaCan
Menu
Back to cohort
Record W4386203835 · doi:10.1186/s12905-023-02611-w

Gender differences in the acceptance of wife-beating: evidence from 30 countries in Sub-Saharan Africa

2023· article· en· W4386203835 on OpenAlexaff
Jones Arkoh Paintsil, Kenneth Setorwu Adde, Edward Kwabena Ameyaw, Kwamena Sekyi Dickson, Sanni Yaya

Bibliographic record

VenueBMC Women s Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of OttawaGlobal Affairs Canada
Fundersnot available
KeywordsWifeDemographyPsychologyMedicineGender studiesSocioeconomicsSociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

BACKGROUND: The World Health Organization (WHO) has cited domestic violence as an urgent global maternal and child health priority. Gender differences in the acceptance of wife-beating have not been explored at the multi-country level in sub-Saharan Africa (SSA) where the occurrence of wife-beating (36%) is greater than the global average (30%). It is against this backdrop that we examine the gender differences in the acceptance of wife beating in SSA. METHODS: We used Demographic and Health Survey data from 30 SSA countries. Acceptance of wife beating among women and men was the principal outcome variable of interest. We employed Multiple correspondence analysis and logistic regression model as the primary estimation methods for this study. The descriptive statistics show that women had a higher acceptance rate (44%) of wife beating than men (25%). For the women sample, Mali, Democratic Republic of Congo, Chad, and Guinea had higher rates of acceptance of the wife beating (80.6%, 78.4%, 77.1% and 70.3% respectively) For the men, only Guinea had an acceptance rate above 50 percent. RESULTS: We found that all else equal, women's acceptance of wife beating is higher for male-headed households than for female-headed households. Women without formal education were 3.1 times more likely to accept wife beating than those with higher education. Men with no formal education were 2.3 times more likely to accept wife beating than men with higher education. We found that polygamous women were comparable to polygamous men. Polygamous women were 1.2 times more likely to accept wife beating than those in monogamous marriages. Women were 1.2 times more likely to accept wives beating if they had extramarital relationships. Contrarily, men who engaged in extramarital affairs were 1.5 times more likely to justify wife beating. We also found that women's acceptance of wife beating decreases as they age. Men who decide on major household purchases and spending decisions on their earnings are more likely to accept wife beating. Corollary, women with similar gender and employment roles also accept wife beating. Finally, exposure to mass media is significantly associated with lower acceptance of wife beating for women and men. CONCLUSION: We conclude that women have a higher acceptance rate of wife beating than men in SSA. Acceptance of wife beating differs significantly by country. Given the same level of education, women are more likely to accept wife beating than men. If women and men have similar levels of employment and gender roles, acceptance of wife beating is higher when men make major household purchasing decisions and and it is still higher even when the woman makes these decisions. Acceptance of wife beating is higher among young women and men, the uneducated, those in polygamous marriages, women, and men who engage in extra marital affairs, poor households and in rural areas. The findings indicate the need for policies and programs by SSA countries to truncate the high acceptance rate of wife beating, especially among women.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.151
GPT teacher head0.380
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueBMC Women s HealthSame topicIntimate Partner and Family ViolenceFrench-language works237,207